Structural, Data Driven Edge Detection

A. Barta and I. Vajk (Hungary)


Edge detection, object recognition, object orientedprogramming, graphs


The paper presents a general feature detection method. The aim of the research is to create a method in which the operating software code and the data are separated. The method is based on a new object, the disk definition. The feature detection is reduced to a picture element definition and an optimization problem. The algorithm can be used as a building block in a general graph based object recognition system. Through two simple examples we demonstrate how to solve practical problems with the presented method; a line detection and gray level edge detection problem is solved

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